Unified targeted regularization framework for causal effect estimation with EDF outcomes using neural networks that jointly estimate outcome model, propensity scores, and fluctuation parameter.
(2023).Statistical Foundations of Actuarial Learning and its Applica- tions.Springer Actuarial.https://link.springer.com/book/10.1007/978-3-031-12409-9 15
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Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes
Unified targeted regularization framework for causal effect estimation with EDF outcomes using neural networks that jointly estimate outcome model, propensity scores, and fluctuation parameter.